Elham Kiyani - RankMe

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Crack Path Prediction with Operator Learning using Discrete Particle System data Generation. CoRR Elham Kiyani, Venkatesh Ananchaperumal, Ahmad Peyvan, Mahendaran Uchimali, Gang Li, George Em Karniadakis
2025	J	`jnl`	GIMLET: Generalizable and Interpretable Model Learning through Embedded Thermodynamics. CoRR Suguru Shiratori, Elham Kiyani, Khemraj Shukla, George Em Karniadakis
2025	J	`jnl`	Machine learning-optimized stochastic Voronoi lattices for enhanced mechanical performance. Eng. Appl. Artif. Intell. Michael Thompson, Hamidreza Yazdani Sarvestani, Ahmad Sohrabi-Kashani, Elham Kiyani, Enzo Filippi, Derek Aranguren van Egmond, Meysam Rahmat, Behnam Ashrafi, Mikko Karttunen
2025	J	`jnl`	Predicting Crack Nucleation and Propagation in Brittle Materials Using Deep Operator Networks with Diverse Trunk Architectures. CoRR Elham Kiyani, Manav Manav, Nikhil Kadivar, Laura De Lorenzis, George Em Karniadakis
2025	J	`jnl`	Probabilistic Predictions of Process-Induced Deformation in Carbon/Epoxy Composites Using a Deep Operator Network. CoRR Elham Kiyani, Amit Makarand Deshpande, Madhura Limaye, Zhiwei Gao, Sai Aditya Pradeep, Srikanth Pilla, Gang Li, Zhen Li, George Em Karniadakis
2025	J	`jnl`	Which Optimizer Works Best for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks? CoRR Elham Kiyani, Khemraj Shukla, Jorge F. Urbán, Jérôme Darbon, George Em Karniadakis
2023	J	`jnl`	A Framework Based on Symbolic Regression Coupled with eXtended Physics-Informed Neural Networks for Gray-Box Learning of Equations of Motion from Data. CoRR Elham Kiyani, Khemraj Shukla, George Em Karniadakis, Mikko Karttunen
2023	J	`jnl`	Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs. CoRR Elham Kiyani, Mahdi Kooshkbaghi, Khemraj Shukla, Rahul Babu Koneru, Zhen Li, Luis Bravo, Anindya Ghoshal, George Em Karniadakis, Mikko Karttunen
2023	J	`jnl`	Designing architectured ceramics for transient thermal applications using finite element and deep learning. CoRR Elham Kiyani, Hamidreza Yazdani Sarvestani, Hossein Ravanbakhsh, Razyeh Behbahani, Behnam Ashrafi, Meysam Rahmat, Mikko Karttunen
2022	J	`jnl`	Machine Learning-Driven Process of Alumina Ceramics Laser Machining. CoRR Razyeh Behbahani, Hamidreza Yazdani Sarvestani, Erfan Fatehi, Elham Kiyani, Behnam Ashrafi, Mikko Karttunen, Meysam Rahmat
2014	J	`jnl`	Algebraic Interior and Separation on Linear Vector Spaces: Some Comments. J. Optim. Theory Appl. Elham Kiyani, Majid Soleimani-Damaneh